Moosend and Google Cloud BigQuery Integration

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Moosend and Google Cloud BigQuery

Create a New Scenario to Connect Moosend and Google Cloud BigQuery

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Moosend, triggered by another scenario, or executed manually (for testing purposes). In most cases, Moosend or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find Moosend or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.

Add the Moosend Node

Select the Moosend node from the app selection panel on the right.

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Configure the Moosend

Click on the Moosend node to configure it. You can modify the Moosend URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Google Cloud BigQuery Node

Next, click the plus (+) icon on the Moosend node, select Google Cloud BigQuery from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery.

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Authenticate Google Cloud BigQuery

Now, click the Google Cloud BigQuery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery settings. Authentication allows you to use Google Cloud BigQuery through Latenode.

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Configure the Moosend and Google Cloud BigQuery Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Set Up the Moosend and Google Cloud BigQuery Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Moosend, Google Cloud BigQuery, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Moosend and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Moosend and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Moosend and Google Cloud BigQuery

Moosend + Google Sheets: When a new subscriber is added to Moosend, their information is added to a Google Sheet for tracking and reporting purposes.

Moosend + Slack: When a subscriber unsubscribes from Moosend, send a notification to a Slack channel to inform the marketing team.

Moosend and Google Cloud BigQuery integration alternatives

About Moosend

Use Moosend in Latenode to automate email marketing based on real-time data. Trigger campaigns from any app, personalize content with AI, and track results directly in your workflows. Latenode lets you connect Moosend to any data source, adding custom logic and scaling without code.

About Google Cloud BigQuery

Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.

See how Latenode works

FAQ Moosend and Google Cloud BigQuery

How can I connect my Moosend account to Google Cloud BigQuery using Latenode?

To connect your Moosend account to Google Cloud BigQuery on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Moosend and click on "Connect".
  • Authenticate your Moosend and Google Cloud BigQuery accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze Moosend campaign data in BigQuery?

Yes, you can! Latenode lets you automate data transfers, unlocking powerful analytics and insights within Google Cloud BigQuery for enhanced marketing strategies.

What types of tasks can I perform by integrating Moosend with Google Cloud BigQuery?

Integrating Moosend with Google Cloud BigQuery allows you to perform various tasks, including:

  • Automating the transfer of new subscriber data to BigQuery.
  • Analyzing email campaign performance using BigQuery's data tools.
  • Creating custom dashboards based on Moosend data within BigQuery.
  • Triggering personalized email campaigns based on BigQuery insights.
  • Backing up Moosend email data to a secure BigQuery database.

What Moosend events trigger workflows in Latenode?

Triggers include new subscribers, unsubscribes, campaign sends, link clicks. Process Moosend actions via real-time automation.

Are there any limitations to the Moosend and Google Cloud BigQuery integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Historical data migration from Moosend may require manual setup.
  • Very large datasets may incur processing delays on data transfer.
  • Complex data transformations might require JavaScript code blocks.

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